code: def parse_args():
      parser = ArgsParser()
      parser.add_argument(
          "--infer_dir",
          type=str,
          default=None,
          help="Directory for images to perform inference on.",
      )
      parser.add_argument(
          "--infer_img",
          type=str,
          default=None,
          help="Image path, has higher priority over --infer_dir",
      )
      parser.add_argument(
          "--output_dir",
          type=str,
          default="output",
          help="Directory for storing the output visualization files.",
      )
      parser.add_argument(
          "--draw_threshold",
          type=float,
          default=0.5,
          help="Threshold to reserve the result for visualization.",
      )
      parser.add_argument(
          "--slim_config",
          default=None,
          type=str,
          help="Configuration file of slim method.",
      )
      parser.add_argument(
          "--use_vdl",
          type=bool,
          default=False,
          help="Whether to record the data to VisualDL.",
      )
      parser.add_argument(
          "--vdl_log_dir",
          type=str,
          default="vdl_log_dir/image",
          help="VisualDL logging directory for image.",
      )
      parser.add_argument(
          "--save_results",
          type=bool,
          default=False,
          help="Whether to save inference results to output_dir.",
      )
      parser.add_argument(
          "--slice_infer",
          action="store_true",
          help="Whether to slice the image and merge the inference results for small object detection.",
      )
      parser.add_argument(
          "--slice_size",
          nargs="+",
          type=int,
          default=[640, 640],
          help="Height of the sliced image.",
      )
      parser.add_argument(
          "--overlap_ratio",
          nargs="+",
          type=float,
          default=[0.25, 0.25],
          help="Overlap height ratio of the sliced image.",
      )
      parser.add_argument(
          "--combine_method",
          type=str,
          default="nms",
          help="Combine method of the sliced images' detection results, choose in ['nms', 'nmm', 'concat'].",
      )
      parser.add_argument(
          "--match_threshold",
          type=float,
          default=0.6,
          help="Combine method matching threshold.",
      )
      parser.add_argument(
          "--match_metric",
          type=str,
          default="ios",
          help="Combine method matching metric, choose in ['iou', 'ios'].",
      )
      parser.add_argument(
          "--visualize",
          type=ast.literal_eval,
          default=True,
          help="Whether to save visualize results to output_dir.",
      )
      args = parser.parse_args()
      return args
  
file_path: PaddleDetection/tools/infer.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import warnings
  import glob
  import ast
  import paddle
  from ppdet.core.workspace import load_config, merge_config
  from ppdet.engine import Trainer, Trainer_ARSL
  from ppdet.utils.check import check_gpu, check_npu, check_xpu, check_mlu, check_version, check_config
  from ppdet.utils.cli import ArgsParser, merge_args
  from ppdet.slim import build_slim_model
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args